[minor] Update dependencies to latest versions

[noxan]

Changes

• Poetry update

Future work

• numpy 1.24.3 fails due to: FAILED tests/test_plotting.py::test_plot_trend[matplotlib] - ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (2,) + inhomogeneous part. (see failed github action).
• torch and pytorch-lightning are tracked in Transition to Pytorch 2.0 #1229
• flake8 would require python>=3.8.1 somehow
• holidays returns different number of holidays from time to time
• plotly-resampler and pandas depend on another (requires plotly-resampler=0.9.0rc0 for pandas=2.0.1) and fail (see github action logs)

Todos

flake8            5.0.4        6.0.0        the modular source code checker: pep8 pyflakes and co
holidays          0.21.13      0.23         Generate and work with holidays in Python
numpy             1.23.5       1.24.3       NumPy is the fundamental package for array computing with Python.
pandas            1.5.3        2.0.1        Powerful data structures for data analysis, time series, and statistics
pandas-stubs      1.5.3.230321 2.0.0.230412 Type annotations for pandas
pycodestyle       2.9.1        2.10.0       Python style guide checker
pyflakes          2.5.0        3.0.1        passive checker of Python programs
pytorch-lightning 1.9.5        2.0.2        PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.
torch             1.13.1       2.0.0        Tensors and Dynamic neural networks in Python with strong GPU acceleration

[github-actions]

Model Benchmark

Benchmark	Metric	main	current	diff
AirPassengers	MAE_val	13.0626	13.0626	0.0%	✅
AirPassengers	RMSE_val	15.9453	15.9453	0.0%	✅
AirPassengers	Loss_val	0.00131	0.00131	0.0%	✅
AirPassengers	MAE	9.88156	9.88156	0.0%	✅
AirPassengers	RMSE	11.7354	11.7354	0.0%	✅
AirPassengers	Loss	0.00052	0.00052	0.0%	✅
AirPassengers	time	5.09969	5.05	-0.97%	✅
YosemiteTemps	MAE_val	1.3442	1.3442	0.0%	✅
YosemiteTemps	RMSE_val	2.00245	2.00245	0.0%	✅
YosemiteTemps	Loss_val	0.00077	0.00077	0.0%	✅
YosemiteTemps	MAE	1.3192	1.3192	0.0%	✅
YosemiteTemps	RMSE	2.13518	2.13518	0.0%	✅
YosemiteTemps	Loss	0.00064	0.00064	0.0%	✅
YosemiteTemps	time	67.6175	62.87	-7.02%	🎉
PeytonManning	MAE_val	0.58159	0.58159	0.0%	✅
PeytonManning	RMSE_val	0.72216	0.72216	0.0%	✅
PeytonManning	Loss_val	0.01239	0.01239	0.0%	✅
PeytonManning	MAE	0.41671	0.41671	0.0%	✅
PeytonManning	RMSE	0.55961	0.55961	0.0%	✅
PeytonManning	Loss	0.00612	0.00612	0.0%	✅
PeytonManning	time	12.6052	12.1	-4.01%	✅

Model training plots

Model Training

PeytonManning

YosemiteTemps

AirPassengers

[codecov-commenter]

Codecov Report

Merging #1305 (ad38cae) into main (4279834) will not change coverage.
The diff coverage is n/a.

📣 This organization is not using Codecov’s GitHub App Integration. We recommend you install it so Codecov can continue to function properly for your repositories. Learn more

@@           Coverage Diff           @@
##             main    #1305   +/-   ##
=======================================
  Coverage   89.82%   89.82%           
=======================================
  Files          38       38           
  Lines        5142     5142           
=======================================
  Hits         4619     4619           
  Misses        523      523           

[leoniewgnr]

LGTM